Question

Find the equation of the curve formed by the set of all points whose distances from

the points (3, 4, -5) and (-2, 1, 4) are equal
pls answer asap​

Answer 1

Answer:

Linear Regression:

Regression is a method of modelling a target value Y based on independent predictors X. Regression techniques mostly differ based on the number of independent variables and the type of relationship between the independent and dependent variables.

Simple linear regression is a type of regression analysis where the number of independent variables is one and there is a linear relationship between the independent(X) and dependent(Y) variable. The red line in above diagram refers as the best fit line and the equation of this line is known as Hypothesis Function.

` Y = w0 + w1*X ` ## Linear Equation

where w0 and w1 are weight which we need to optimize so that we can fit best line to reduce loss.

Gradient Descent is techniques to find the value of w0 and w1 using iterative process so that overall loss can be minimized

Gradient Descent:

Gradient descent is a first-order iterative optimization algorithm for finding the minimum of a function (Loss function). To find a local minimum of a function using gradient descent, one takes steps proportional to the negative of the gradient (or approximate gradient) of the function at the current point. If instead one takes steps proportional to the positive of the gradient, one approaches a local maximum of that function; the procedure is then known as gradient ascent.

Loss function for Linear function is quadratic equation 1/2(y_predicted - y_real)**2 whose shape looks like a bowl or convex as shown below.

Step-by-step explanation:

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